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Cybersecurity · head to head

DataGrail vs Speakeasy

DataGrail logo

DataGrail

Cybersecurity

Privacy platform that finds shadow data systems and automates data subject requests across them

From
On request
Rated
-
Full reviewWebsite
Speakeasy logo

Speakeasy

Cybersecurity

AI control plane for governing enterprise agents, MCP servers, and skills

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DataGrail no pricing is published, and while benchmarking suggests it undercuts OneTrust for comparable scope, cost still scales with request volume and connected systems, which grow with the business.; Speakeasy no self-serve pricing is published; every plan requires a sales conversation.
  • They diverge on capability: DataGrail covers Live data discovery, Speakeasy covers AI tool catalog.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrail and Speakeasy actually diverge.

Attributes where DataGrail and Speakeasy differ
AttributeDataGrailSpeakeasy

Identical on both: starting price (On request), pricing model (quote), free tier (No), platforms (Web, API), user rating (Not yet rated), category (Cybersecurity).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DataGrail

  • Live data discovery
  • Request automation
  • Audit trail
  • Consent management
  • Integration catalogue
  • Risk monitoring
  • Consumer request portal
  • Reporting

Only in Speakeasy

  • AI tool catalog
  • Per-agent identity
  • Role-based access control
  • Real-time policy enforcement
  • Audit logging
  • MDM and SSO integration

What people use each for

The jobs each tool is most often brought in to do.

DataGrail

  • A consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existednot Speakeasy
  • A company processing hundreds of CCPA requests a month where manual fulfilment has become a full-time jobnot Speakeasy
  • A privacy team leaving OneTrust because the platform tracked requests but staff still completed them by handnot Speakeasy
  • An organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closednot Speakeasy

Speakeasy

  • Governing AI agents at enterprise scalenot DataGrail
  • Preventing shadow AI tool sprawlnot DataGrail
  • Enforcing least-privilege access for agentsnot DataGrail
  • Auditing AI tool call activity for compliancenot DataGrail

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DataGrail

  • No pricing is published, and while benchmarking suggests it undercuts OneTrust for comparable scope, cost still scales with request volume and connected systems, which grow with the business.
  • Automated fulfilment only works for systems with a supported connector, so homegrown applications and legacy databases still need manual handling, and those are usually where the awkward data lives.
  • Discovery works by observing integrations and traffic patterns, so genuinely isolated systems, offline data and files on employee machines remain invisible and outside the data map.
  • It is narrower than the enterprise privacy suites, lacking the assessment, third-party risk and wider GRC modules a large regulated organisation will also need, so it may be one of two platforms rather than the only one.
  • Deletion automation is irreversible and mistakes are unrecoverable, so teams need real confidence in identity verification before enabling it, and that caution often keeps deletion semi-manual for months after purchase.

Speakeasy

  • No self-serve pricing is published; every plan requires a sales conversation.
  • The product pivoted away from its original SDK-generation offering, so past documentation and customers built on that use case are no longer the focus.
  • Requires integration with an existing identity provider such as Okta or Entra ID to be useful, so it is not a standalone solution.
  • No published free tier or trial pricing was found.

Pricing, plan by plan

DataGrail

On request
  • DataGrail Platform$undefined/year
    • Data discovery and mapping
    • Data subject request automation
    • Consent management

Speakeasy

On request
  • Enterprise$undefined/mo
    • Custom pricing
    • AI tool catalog and visibility
    • Per-agent identity and access control

Which should you pick?

Choose DataGrail if

  • You need live data discovery.
  • You work on Web, API.
  • You also want request automation.
DataGrail review

Choose Speakeasy if

  • You need ai tool catalog.
  • You work on web, api.
  • You also want per-agent identity.
Speakeasy review

Questions people ask

Is DataGrail or Speakeasy better?
Neither clearly leads. DataGrail starts at On request and Speakeasy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrail or Speakeasy?
DataGrail starts at On request and Speakeasy at On request.
Does DataGrail or Speakeasy run on more platforms?
DataGrail runs on Web, API. Speakeasy runs on web, api.
What is DataGrail best used for?
DataGrail is most often used for a consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existed, a company processing hundreds of ccpa requests a month where manual fulfilment has become a full-time job, a privacy team leaving onetrust because the platform tracked requests but staff still completed them by hand, an organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closed. Of those, a consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existed and a company processing hundreds of ccpa requests a month where manual fulfilment has become a full-time job are not what Speakeasy is typically brought in for.
What can DataGrail do that Speakeasy cannot?
DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. Speakeasy covers AI tool catalog, Per-agent identity, Role-based access control, Real-time policy enforcement.

Answered from the vendors’ own pages

DataGrail: How is DataGrail different from OneTrust?

OneTrust orchestrates the workflow; DataGrail focuses on connecting to systems and completing the request, and benchmark data suggests it prices materially below OneTrust for comparable scope.

Speakeasy: How much does Speakeasy cost?

Speakeasy offers an Enterprise tier with features including SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. No specific pricing is published; interested parties contact the company to discuss pricing.

Source
DataGrail: Does it find systems we do not know about?

Yes. Continuous discovery of unsanctioned tools processing personal data is its main technical claim.

Speakeasy: What is included in Speakeasy's Enterprise plan?

The Enterprise plan includes SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. Customers contact Speakeasy to discuss their specific pricing for these features.

Source
DataGrail: What does it cost?

Not published. Pricing is quoted by request volume and connected systems, with multi-year commitments typically discounted.

DataGrail: Does it cover consent as well as requests?

Yes, it includes consent management, though publishers needing certified advertising consent usually use a specialist CMP.

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